# Jobs Aggregator Scraper - Remote Job APIs (`fascinating_lentil/jobs-aggregator-scraper`) Actor Scrape no-key public job APIs from Remote OK, Remotive, and Arbeitnow into one clean dataset with titles, companies, locations, salaries, URLs, and source attribution. - **URL**: https://apify.com/fascinating\_lentil/jobs-aggregator-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** Jobs, Other, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 job scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Jobs Aggregator Scraper - Remote Job APIs Jobs Aggregator Scraper collects job listings from no-key public job APIs and exports clean records for recruiting research, lead generation, labor-market analysis, and job-board enrichment. It currently supports Remote OK, Remotive, and Arbeitnow. Export to JSON, CSV, Excel, or HTML, or pull via the Apify API. No login or API key is required. ### What It Extracts - Source and source job ID - Job title and company name - Location and remote flag - Category and tags - Optional job type and salary fields where the source provides them - Posted date - Job URL and apply URL - Source attribution - Matching keyword and scraped timestamp - Optional cleaned description text ### Use Cases - Build recruiting lead lists from companies actively hiring - Monitor remote hiring trends by keyword, role, and category - Enrich job-board or talent-market datasets with source links - Track salary ranges where public APIs expose them - Research remote-first companies and active hiring signals ### Pricing | Event | Price | Per 1,000 jobs | Per 10,000 jobs | | --- | ---: | ---: | ---: | | `job-scraped` | $0.002 | $2.00 | $20.00 | The actor charges only after a clean job record is saved to the dataset. ### Input | Field | Type | Default | Description | | --- | --- | --- | --- | | `source` | string | `all` | Search all sources or one source: `remoteok`, `remotive`, `arbeitnow`. | | `keywords` | string[] | `["developer"]` | Job title, skill, or company keywords. | | `location` | string | empty | Optional text filter for location. | | `remoteOnly` | boolean | `true` | Keep only remote jobs where the source exposes this signal. | | `dateFrom` | string | empty | Optional ISO date filter for posted date. | | `maxResults` | integer | `100` | Maximum clean records to save. | | `maxPagesPerSource` | integer | `3` | Page limit for paginated sources. | | `includeDescription` | boolean | `false` | Include cleaned job description text. | ### How to Scrape Jobs Aggregator Data (Step by Step) 1. Choose `all` or a specific source. 2. Enter one or more keywords such as `developer`, `data analyst`, or `product manager`. 3. Optionally set a location filter, date filter, or turn on descriptions. 4. Run the actor and wait for the dataset to fill. 5. Export results from the Dataset tab or consume them through the Apify API. ### Sample Output ```json { "source": "remoteok", "sourceJobId": "1133163", "title": "Senior SDET", "companyName": "NDEAVOUR CONSULTING", "location": "Remote", "remote": true, "jobType": "Full-time", "category": "testing", "tags": ["testing", "java", "cloud", "typescript"], "salary": "90000 - 130000", "salaryMin": 90000, "salaryMax": 130000, "postedAt": "2026-06-10T16:00:53+00:00", "jobUrl": "https://remoteOK.com/remote-jobs/remote-senior-sdet-ndeavour-consulting-1133163", "applyUrl": "https://remoteOK.com/remote-jobs/remote-senior-sdet-ndeavour-consulting-1133163", "sourceAttribution": "Remote OK", "keywordUsed": "developer", "scrapedAt": "2026-06-12T00:00:00.000Z" } ```` ### How It Works The actor calls public JSON APIs, normalizes each source into a shared job schema, filters by keyword, location, remote status, and date, deduplicates by source ID and title/company/location, then saves clean records to the Apify Dataset. ### Known Limits - Source APIs can change fields, rate limits, or terms without notice. - Remotive requires linking back to Remotive job URLs and source attribution, and should not be used to repost jobs to third-party job boards. - Arbeitnow asks API users not to abuse the service and appreciates source links; its general site terms should be reviewed for your use case. - Remote OK includes anti-spam application text inside some descriptions; keep `includeDescription` off if you only need lead fields. - Job type and salary fields are source-dependent and omitted from records when unavailable. ### License Apache-2.0 # Actor input Schema ## `source` (type: `string`): Choose one job API source or search all supported sources. ## `keywords` (type: `array`): Job title, skill, or company keywords. Records must match at least one keyword. ## `location` (type: `string`): Optional text filter for job location, such as Worldwide, Europe, Germany, London, or Remote. ## `remoteOnly` (type: `boolean`): Only keep jobs that are remote or from remote-first sources. ## `dateFrom` (type: `string`): Optional ISO date filter. Jobs without a parseable posted date are excluded when this is set. ## `maxResults` (type: `integer`): Maximum clean job records to save. ## `maxPagesPerSource` (type: `integer`): Pagination limit for sources that expose pages. Remote OK and Remotive are single-response APIs. ## `includeDescription` (type: `boolean`): Include cleaned job description text in the dataset. This makes records larger. ## Actor input object example ```json { "source": "all", "keywords": [ "developer", "data analyst", "product manager" ], "location": "", "remoteOnly": true, "dateFrom": "", "maxResults": 100, "maxPagesPerSource": 3, "includeDescription": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "source": "all", "keywords": [ "developer" ], "location": "", "remoteOnly": true, "dateFrom": "", "maxResults": 100, "maxPagesPerSource": 3, "includeDescription": false }; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/jobs-aggregator-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "source": "all", "keywords": ["developer"], "location": "", "remoteOnly": True, "dateFrom": "", "maxResults": 100, "maxPagesPerSource": 3, "includeDescription": False, } # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/jobs-aggregator-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "source": "all", "keywords": [ "developer" ], "location": "", "remoteOnly": true, "dateFrom": "", "maxResults": 100, "maxPagesPerSource": 3, "includeDescription": false }' | apify call fascinating_lentil/jobs-aggregator-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/jobs-aggregator-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jobs Aggregator Scraper - Remote Job APIs", "description": "Scrape no-key public job APIs from Remote OK, Remotive, and Arbeitnow into one clean dataset with titles, companies, locations, salaries, URLs, and source attribution.", "version": "1.0", "x-build-id": "dxtI8aDafdXEIsg8t" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~jobs-aggregator-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-jobs-aggregator-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~jobs-aggregator-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-jobs-aggregator-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~jobs-aggregator-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-jobs-aggregator-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords" ], "properties": { "source": { "title": "Source", "enum": [ "all", "remoteok", "remotive", "arbeitnow" ], "type": "string", "description": "Choose one job API source or search all supported sources.", "default": "all" }, "keywords": { "title": "Keywords", "type": "array", "description": "Job title, skill, or company keywords. Records must match at least one keyword.", "items": { "type": "string" } }, "location": { "title": "Location Contains", "type": "string", "description": "Optional text filter for job location, such as Worldwide, Europe, Germany, London, or Remote.", "default": "" }, "remoteOnly": { "title": "Remote Only", "type": "boolean", "description": "Only keep jobs that are remote or from remote-first sources.", "default": true }, "dateFrom": { "title": "Posted From", "type": "string", "description": "Optional ISO date filter. Jobs without a parseable posted date are excluded when this is set.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum clean job records to save.", "default": 100 }, "maxPagesPerSource": { "title": "Max Pages Per Source", "minimum": 1, "maximum": 20, "type": "integer", "description": "Pagination limit for sources that expose pages. Remote OK and Remotive are single-response APIs.", "default": 3 }, "includeDescription": { "title": "Include Description", "type": "boolean", "description": "Include cleaned job description text in the dataset. This makes records larger.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```